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cshim-cmu/
k20

Name: k20
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k20

This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-fi on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Bleu	Chrf	Gen Len
4.0131	0.09	1000	2.9722	0.9308	11.814	13.1288
1.4118	0.18	2000	1.1880	0.8685	11.6846	14.3099
1.2492	0.27	3000	1.0932	0.8148	11.4806	15.8551
1.1864	0.36	4000	1.0426	0.7206	11.2905	17.1519
1.1433	0.45	5000	1.0077	0.6472	11.0867	21.6419
1.093	0.54	6000	0.9802	0.53	10.513	30.826